We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




Screening Technique Helps Diagnose Enteric Lesions

By HospiMedica International staff writers
Posted on 06 Jan 2009
A computer-assisted screening technique discriminates among thousands of capsule endoscopy (CE) images obtained for diagnosing enteric lesions. More...


Capsule endoscopy, using what is practically a microcamera, can acquire 40-60 thousand images of the gastrointestinal (GI) tract, even though the number of images obtained for lesions is less than 500 for most patients. However, the CE reader (technician) has to scan thousands of the images, one by one, because the reader cannot establish beforehand in which of the images the lesions will be seen. This results in a large burden on the CE reader's eyes, stamina, and time.

Professor Jun-Chao Wu, M.D. and Dr. T. Gan from the West China Hospital of the Sichuan University (Chengdu, China) developed a diagnostic technique in which the kind of images screened by image-processing software (IPS) is based on the characteristic colors and contours of the lesions. This technique deselects a large number of normal images from the original set of images and keeps only 10%-15% for analysis.

Sensitivity in the screening of the commonly encountered enteric lesions by IPS varied from 42.9-91.2%, with a mean of 74.2%, compared with results obtained by the CE readers. Specificity and accuracy rates were still low, and the images for the rarely encountered lesions were difficult to differentiate from the normal images. However, a large number of normal images were excluded, and the mean reading time decreased from five hours down to one.

The computer-aided diagnosis technique trial was described in the December 7, 2008 issue of the World Journal of Gastroenterology (WJG).



Gold Member
12-Channel ECG
CM1200B
Gold Member
SARS‑CoV‑2/Flu A/Flu B/RSV Sample-To-Answer Test
SARS‑CoV‑2/Flu A/Flu B/RSV Cartridge (CE-IVD)
New
Glucose Meter
StatStrip®
New
Wound Irrigation Solution
Prontosan®
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to HospiMedica.com and get access to news and events that shape the world of Hospital Medicine.
  • Free digital version edition of HospiMedica International sent by email on regular basis
  • Free print version of HospiMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of HospiMedica International in digital format
  • Free HospiMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Critical Care

view channel
Image: The method uses data streams commonly available on consumer wearables, including heart rate, physical activity, and oxygen saturation (photo courtesy of 123RF)
Image: The method uses data streams commonly available on consumer wearables, including heart rate, physical activity, and oxygen saturation (photo courtesy of 123RF)

Wearable AI Tool Predicts Hospitalization Risk in Heart Failure

Heart failure, a condition in which the heart cannot pump enough blood to meet the body’s needs, is a leading driver of unplanned hospital use. Clinicians often lack continuous insight into symptom changes... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.